Senior Machine Learning Engineer (Fraud ML)

TL;DR

Senior Machine Learning Engineer (Fraud ML): Building and optimizing ML systems for real-time transaction decisions to prevent fraud with an accent on tabular, graph, and behavioral data. Focus on scaling feature pipelines, productionizing models in low-latency settings, and implementing robust monitoring for evolving fraud patterns.

Location: Remote (Canada)

Salary: $150,000 - $200,000

Company

hirify.global is a fintech company reinventing credit to provide honest, transparent buy-now-pay-later services without hidden fees or compounding interest.

What you will do

• Lead the development of fraud prediction models using a mix of tabular, graph, and behavioral data.
• Build and scale feature pipelines and training datasets using proprietary and third-party signals.
• Prototype new modeling ideas, run offline experiments, and drive high-performing approaches into production.
• Integrate models into batch and real-time decision systems, optimizing for reliability, latency, and robustness.
• Instrument and monitor model and data health, defining retraining and backtesting workflows.
• Collaborate with Engineering, Fraud Analytics, and Product teams to define requirements and evaluate tradeoffs.

Requirements

• 6+ years of experience researching, training, tuning, and launching ML models at scale (PhD counts for up to 2 years).
• Track record of delivering high-impact ML models in low-latency live settings.
• Strong Python skills and experience writing production-quality code.
• Experience with tabular classification (e.g., LightGBM, XGBoost, CatBoost) and deep learning frameworks (PyTorch preferred).
• Proficiency with distributed data processing (Spark, Ray, or Dask) and ML lifecycle tooling (Kubeflow, Airflow, MLflow).
• Must be based in Canada.

Culture & Benefits

• Remote-first environment with flexibility to work almost anywhere within the country of employment.
• 100% subsidized medical, dental, and vision coverage for employees and their dependents.
• Generous flexible spending wallets for technology, food, lifestyle, and family forming expenses.
• Competitive vacation and holiday schedules to ensure work-life balance.
• Employee Stock Purchase Plan (ESPP) for purchasing company shares at a discount.